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#95 – Dawn Song: Adversarial Machine Learning and Computer Security

Lex Fridman Podcast

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Guarding Against Adversarial Attacks in Machine Learning

This chapter explores the vulnerabilities of machine learning systems to adversarial attacks, particularly in semantic segmentation and autonomous vehicles. It discusses the challenges of maintaining spatial and temporal consistency to defend against such threats, emphasizing the need for robust multimodal defenses. Additionally, the chapter highlights concerns over data privacy and the potential for sensitive information to be compromised during model training.

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